Dados de Pesquisa

This dataset contains survey responses from 32 students and researchers at the Federal University of Maranhão (UFMA) regarding the application and evaluation of a project management methodology tailored for Artificial Intelligence and Data Science development. The data is structured across 17 dimensions, encompassing quantitative metrics on a 1-5 Likert scale, such as technical support, methodological flexibility, ease of understanding, and the promotion of Explainable AI (XAI) results, as well as qualitative feedback concerning practical challenges and suggestions for improvement. The results highlight the methodology's impact on project quality, identifying critical bottlenecks in the modeling and data preparation stages while demonstrating its effectiveness in organizing complex technical concepts for engineering education. This repository serves as a foundational resource for researchers in software engineering, AI management, and educational frameworks for emerging technologies.

本数据集收录了马拉尼昂联邦大学（Federal University of Maranhão, UFMA）32名学生与研究者，针对一款专为人工智能与数据科学开发量身定制的项目管理方法论的应用与评估所提交的调研反馈。该数据集涵盖17个维度，包含基于1-5李克特量表的定量指标，具体包括技术支持、方法论灵活性、易用性以及可解释人工智能（Explainable AI, XAI）成果的推广情况，同时涵盖针对实际挑战与改进建议的定性反馈。研究结果凸显了该方法论对项目质量的积极影响，识别出建模与数据准备阶段的关键瓶颈，同时证实了其在为工程教育整合复杂技术概念方面的应用成效。本数据集仓库可为软件工程、人工智能管理以及新兴技术教育框架领域的研究者提供基础性参考资源。